A streaming dataflow engine for sparse matrix-vector multiplication using high-level synthesis

Hosseinabady, Mohammad; Nunez-Yanez, Jose Luis

doi:10.1109/TCAD.2019.2912923

All Outputs (4)

Accessing and integrating citizen science sensor data: Evaluation of OGC sensor observation service implementations (2019)
Presentation / Conference
Padiya, T., Pathe, C., Löffler, F., & Klan, F. (2019, September). Accessing and integrating citizen science sensor data: Evaluation of OGC sensor observation service implementations. Presented at Geospatial Sensing Conference 2019, Münster, Deutschland

Nineteen (2019)
Digital Artefact
Lloyd, O. (2019). Nineteen. [Music composition]

Album of 8 works, made using synthesis, field recording and generative techniques.

Pickcells: A physically reconfigurable cell-composed touchscreen (2019)
Conference Proceeding
Goguey, A., Steer, C., Lucero, A., Nigay, L., Sahoo, D. R., Coutrix, C., …Jones, M. (2019). Pickcells: A physically reconfigurable cell-composed touchscreen. In CHI '19: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (1-14). https://doi.org/10.1145/3290605.3300503

Touchscreens are the predominant medium for interactions with digital services; however, their current fixed form factor narrows the scope for rich physical interactions by limiting interaction possibilities to a single, planar surface. In this paper... Read More about Pickcells: A physically reconfigurable cell-composed touchscreen.

A streaming dataflow engine for sparse matrix-vector multiplication using high-level synthesis (2019)
Journal Article
Hosseinabady, M., & Nunez-Yanez, J. L. (2020). A streaming dataflow engine for sparse matrix-vector multiplication using high-level synthesis. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 39(6), 1272-1285. https://doi.org/10.1109/TCAD.2019.2912923

Using high-level synthesis techniques, this paper proposes an adaptable high-performance streaming dataflow engine for sparse matrix dense vector multiplication (SpMV) suitable for embedded FPGAs. As the SpMV is a memory-bound algorithm, this engine... Read More about A streaming dataflow engine for sparse matrix-vector multiplication using high-level synthesis.